
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "73"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 88 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 84 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.768440	-0.697060	-0.680320	-0.724376	0.632357	-1.162736	-1.304257	-1.192765	0.8062	0.8063	0.2429	13.832516	12.018594
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	275.030581	275.456106	inf	inf	58.749701	67.090047	315.135475	343.323840	nan	nan	nan	0.000000	0.000000
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.344716	-0.849319	-0.132627	-0.633335	0.124156	0.133904	-1.914444	-0.020041	0.0294	0.0281	0.0015	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.697990	-0.116986	-0.662204	-0.334233	1.482136	-0.602992	-0.247443	-0.415745	0.6901	0.6922	0.3652	5.524605	4.630566
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.053317	-0.208078	-0.324567	-0.353812	-0.015426	-0.595294	0.363710	-0.343908	0.6909	0.6911	0.3596	6.952405	6.409660
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	339.331128	340.211577	inf	inf	47.887248	51.257527	349.425277	359.290617	nan	nan	nan	0.000000	0.000000
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.667482	0.024183	-0.375005	-0.701918	-0.028572	-0.913445	-0.798258	-0.767802	0.7922	0.7710	0.2200	9.599153	7.735665
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.097499	-0.045947	-0.080143	-0.362852	0.660873	0.108927	-0.011223	-0.866090	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.423461	0.009232	0.116710	-0.077234	0.357977	0.910423	0.740151	-0.584896	0.6927	0.6947	0.3497	4.955020	4.430537
2459585	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.399820	2.484782	0.808276	1.721219	0.381996	2.025282	-0.523630	0.688574	0.0301	0.0291	0.0011	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.062059	2.793271	1.963720	1.311417	3.165509	2.618437	16.964506	16.529519	0.6391	0.6427	0.3572	4.866737	4.847652
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.646602	0.221604	1.492361	1.053140	0.714753	0.754425	0.008721	-0.526634	0.6940	0.6951	0.3760	0.000000	0.000000
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.353929	0.305765	1.007871	1.054667	1.359788	0.247247	0.005794	-0.506082	0.6894	0.6906	0.3777	4.190725	4.138826
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.344919	0.513894	1.466915	0.552484	0.912192	0.243378	0.490336	-0.440197	0.6933	0.6949	0.3774	4.752518	4.310440
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.669871	0.321529	0.988630	0.686922	0.452596	0.407263	1.066942	-0.313189	0.6974	0.6983	0.3712	4.008541	3.603262
2459579	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.015750	0.672269	1.432036	1.440633	1.128888	0.374197	1.033358	-0.200009	0.6946	0.6970	0.3736	4.997347	4.391588
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-1.043634	-0.590928	-0.697117	-0.777346	0.420550	-0.194912	0.498058	-0.437002	0.0283	0.0347	0.0011	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.009485	0.546040	1.135228	0.619055	1.391715	0.949587	0.522034	-0.468691	0.6971	0.6983	0.3740	5.486957	4.667226
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.768970	0.613772	0.898443	0.723929	0.786173	0.623510	1.539161	-0.238254	0.7120	0.7165	0.3736	5.474296	4.988176
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.009411	0.288596	0.828145	0.730134	1.058226	0.774478	1.024113	0.608850	0.7720	0.7733	0.3125	5.488899	5.251470
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.107738	0.310831	0.673151	0.675830	1.456838	0.566674	-0.572600	-0.505078	0.7170	0.7210	0.3618	4.277778	4.086590
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.866887	1.015512	1.563434	1.430648	1.485982	0.193226	0.973741	-0.046421	0.7049	0.7116	0.3718	5.144810	4.566002
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.491223	0.608411	0.607998	0.560992	0.619620	0.623007	1.186949	0.071995	0.7012	0.7075	0.3816	4.113804	3.821059
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.784928	-0.505531	-0.953841	-0.870408	0.079673	0.415384	0.360023	-0.591359	0.0272	0.0279	0.0017	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.980618	-0.977594	-0.645082	-0.850352	-0.696026	-0.724823	-0.917474	-0.744995	0.6852	0.6934	0.3608	5.451487	4.671444
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.189352	0.462776	0.986904	0.690737	0.527743	0.455176	0.678356	0.377710	0.7843	0.7838	0.2285	5.946777	5.448901
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.428834	0.546326	1.480483	0.983386	0.874982	0.132409	-0.214774	-0.729168	0.6929	0.6975	0.4002	3.043760	2.641468
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.347647	0.347647	0.332430	0.332430	-0.674491	-0.674491	-0.797241	-0.797241	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.212412	0.245715	-0.267005	-0.548581	2.748004	2.093697	2.158949	-0.126872	0.7253	0.7195	0.3819	3.783118	3.261300
2459563	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.266394	0.552296	-0.485803	-0.726737	-0.107233	-0.424961	1.849213	-0.313482	0.7081	0.7084	0.3852	8.997798	8.309537
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.651259	0.373279	0.991505	0.786701	0.840667	0.661498	1.687585	0.214559	0.7169	0.7186	0.3728	3.526420	3.215012
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.426395	0.416915	0.883881	0.843176	0.511625	0.817497	1.482976	0.066271	0.7174	0.7220	0.3704	7.424963	6.424407
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.654905	0.283145	0.956528	0.800522	1.155322	0.879701	1.559359	0.085638	0.7063	0.7085	0.3873	4.382964	3.969272
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.552812	0.492833	0.826113	0.621803	1.311068	0.976330	0.874195	0.052938	0.7197	0.7178	0.3716	4.038272	3.537798
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.703438	0.987198	1.436470	1.680987	0.546780	0.361733	2.514001	-0.225260	0.7215	0.7168	0.3786	5.249819	4.169832
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0271	0.0284	0.0008	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.207591	0.908443	1.554820	1.490093	1.530889	0.785399	1.851552	-0.241663	0.7195	0.7170	0.3749	5.599581	4.194062
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7168	0.7130	0.3917	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7222	0.7181	0.3848	nan	nan
2459552	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.371878	0.515423	2.007765	1.279168	1.357282	2.056496	0.911064	-0.155197	0.7283	0.7222	0.3842	0.000000	0.000000
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.998725	0.275484	0.884872	0.702179	1.596584	0.726004	4.134921	0.354893	0.7172	0.7138	0.3836	4.777911	3.891811
2459550	RF_maintenance	-	97.53%	97.53%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0392	0.0428	0.0008	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.275547	0.541955	1.346842	1.053106	1.593780	-0.062564	4.583184	0.266453	0.7203	0.7184	0.3871	3.700834	3.246763
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.594846	1.019648	0.706736	-0.650869	0.856271	1.312552	0.352992	0.316097	0.7767	0.7681	0.3340	7.725390	6.448641
2459541	RF_maintenance	0.00%	1.34%	1.34%	0.00%	100.00%	0.00%	0.519948	0.568790	0.951366	1.117068	0.442664	1.753692	0.397043	1.235829	0.7687	0.7562	0.3125	5.443893	4.495770
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.618195	0.591904	0.846310	0.798440	0.845527	-0.248898	1.101549	1.131654	0.7723	0.7605	0.3264	4.352597	3.710388
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.994261	2.126202	2.948674	1.707901	2.043751	0.957481	7.388213	3.341612	0.7535	0.7428	0.3988	6.199372	4.716975
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.074818	0.343803	1.046783	0.757652	0.355920	-0.317680	2.422027	1.830055	0.7945	0.7630	0.3451	3.978283	3.044647
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.811161	0.363518	1.153393	0.832159	0.125097	-0.000433	1.684153	2.724567	0.7821	0.7555	0.3446	10.139584	8.074868
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.526392	1.111590	2.022574	1.357126	1.250700	0.236853	1.293017	-0.301775	0.7380	0.7186	0.3884	4.451846	3.413404
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.252161	0.974094	3.101367	2.366471	0.684142	-0.608560	1.437632	0.135773	0.7360	0.7131	0.3925	4.400477	3.353942
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.975982	0.380451	1.265996	0.830190	1.595438	0.875097	2.789269	1.625335	0.7561	0.7313	0.3887	4.270537	3.395030
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.535550	2.583298	4.202026	3.735525	5.020759	4.331644	3.447004	1.984495	0.0437	0.0361	0.0020	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	12.312004	13.841980	1.985572	2.747434	1240.894910	1238.183707	344.998789	343.509268	nan	nan	nan	1.183812	1.192586
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.935453	-0.977184	-0.014757	-0.509688	1.442691	2.843327	0.763403	0.940934	0.0298	0.0297	0.0020	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.075539	2.122800	2.902432	1.096891	2.718618	0.388033	2.133424	0.259302	0.9214	0.9516	0.1562	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.705843	1.382969	2.902964	0.959027	3.613353	1.134507	5.660272	1.712342	0.8946	0.8698	0.1706	16.123097	11.566169
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.758170	2.238890	1.858257	0.600143	2.106394	0.327398	6.170203	6.095175	0.8803	0.8690	0.4299	0.000000	0.000000
2459501	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.794867	1.986778	1.061708	0.265775	-0.058355	-0.727660	2.699241	3.476278	0.0567	0.0478	0.0041	0.000000	0.000000
2459500	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.874679	2.622903	1.206507	0.560293	1.884503	0.667123	2.137840	2.689352	0.0515	0.0465	0.0029	0.000000	0.000000
2459499	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.843320	3.207617	3.152531	1.590300	3.583484	1.554719	3.539973	1.302807	0.0515	0.0471	0.0024	0.000000	0.000000
2459498	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.776197	2.371215	1.450786	1.068657	1.963449	0.667422	2.264900	0.199306	0.0507	0.0435	0.0024	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.751330	2.307023	0.945556	0.378687	1.318946	-0.545449	0.992477	0.142324	0.0505	0.0418	0.0025	0.000000	0.000000
2459496	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.337553	2.397819	1.543120	0.551458	1.715500	-0.184752	2.252466	1.175654	0.0496	0.0449	0.0037	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.956261	1.749756	1.537733	-0.493130	1.936407	2.194137	4.100565	9.231044	0.0556	0.0405	0.0025	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.685757	11.056563	3.349485	11.154388	3.699167	9.967453	1.572477	3.668388	0.8835	0.8854	0.4646	0.000000	0.000000
2459492	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.823178	1.841466	-0.186499	-1.039377	1.294894	0.891246	1.149398	-0.263093	0.7635	0.7956	0.3508	0.000000	0.000000
2459491	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.541271	1.810095	-0.239276	-0.871348	3.722857	0.122277	0.405470	-0.696823	0.7993	0.8083	0.2850	0.000000	0.000000
2459490	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.762323	2.254010	-0.582233	-1.736023	1.712058	-0.095561	0.486018	-0.161934	0.7510	0.7902	0.3895	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.328236	2.098774	1.285960	-0.073103	2.953270	-0.156073	5.745060	1.940951	0.7665	0.7977	0.3366	0.000000	0.000000
2459488	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.288436	1.855163	0.308667	-0.448371	0.988933	0.987818	0.192740	0.402486	0.7700	0.7998	0.3646	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 73 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 73, Node 5:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 73: 2459612

Antenna 73: 2459611

Antenna 73: 2459610

Antenna 73: 2459609

Antenna 73: 2459608

Antenna 73: 2459607

Antenna 73: 2459605

Antenna 73: 2459604

Antenna 73: 2459603

Antenna 73: 2459602

Antenna 73: 2459598

Antenna 73: 2459597

Antenna 73: 2459596

Antenna 73: 2459595

Antenna 73: 2459594

Antenna 73: 2459593

Antenna 73: 2459592

Antenna 73: 2459591

Antenna 73: 2459590

Antenna 73: 2459589

Antenna 73: 2459588

Antenna 73: 2459587

Antenna 73: 2459586

Antenna 73: 2459585

Antenna 73: 2459584

Antenna 73: 2459583

Antenna 73: 2459582

Antenna 73: 2459581

Antenna 73: 2459580

Antenna 73: 2459579

Antenna 73: 2459578

Antenna 73: 2459577

Antenna 73: 2459576

Antenna 73: 2459575

Antenna 73: 2459574

Antenna 73: 2459573

Antenna 73: 2459572

Antenna 73: 2459571

Antenna 73: 2459570

Antenna 73: 2459569

Antenna 73: 2459566

Antenna 73: 2459565

Antenna 73: 2459564

Antenna 73: 2459563

Antenna 73: 2459562

Antenna 73: 2459561

Antenna 73: 2459560

Antenna 73: 2459559

Antenna 73: 2459558

Antenna 73: 2459556

Antenna 73: 2459552

Antenna 73: 2459551

Antenna 73: 2459549

Antenna 73: 2459542

Antenna 73: 2459541

Antenna 73: 2459540

Antenna 73: 2459536

Antenna 73: 2459535

Antenna 73: 2459534

Antenna 73: 2459533

Antenna 73: 2459532

Antenna 73: 2459530

Antenna 73: 2459527

Antenna 73: 2459524

Antenna 73: 2459523

Antenna 73: 2459522

Antenna 73: 2459513

Antenna 73: 2459508

Antenna 73: 2459506

Antenna 73: 2459505

Antenna 73: 2459503

Antenna 73: 2459501

Antenna 73: 2459500

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶